Cluster of Excellence "Internet of Production“

  Picture "Internet of Pruduction" Copyright: © TIME Research Area


With the Internet of Production (IoP) we have the vision to enable a new level of cross-domain collaboration by providing semantically adequate and context-aware data from production, development and usage in real-time on an appropriate level of granularity. The central scientific approach is the introduction of Digital Shadows as purpose-driven, aggregated, multi-perspective and persistent datasets. The Cluster of Excellence (CoE) will design and implement a conceptual reference infrastructure for the Internet of Production that enables the generation and application of Digital Shadows.

Within the user cycle, data about the usage of products will be gathered and provided to the other domains in order to enable them to develop and improve products as well as processes. To facilitate this, the research area focuses on an internal perspective, like the user acceptance of the IoP itself and an external perspective, such as the creation and use of platform-based business models.

For the realization of the IoP, Aachen’s highly renown researchers in production engineering, computer science, materials engineering and further necessary disciplines team-up to solve interdisciplinary challenges, like the integration of reduced production engineering models into data-driven machine learning for cross-domain knowledge generation and context-adaptive action.

The Institute for Technology and Innovation Management (TIM) co-leads jointly with the Institute of Industrial Engineering and Ergonomics (IAW) the subcluster “Integrated Usage”. Its vision is to foster IoP-based value creation during usage of connected data, products, and equipment by design of interfaces, development of capabilities, a specific organizational structure, and the selection of a governance mode.

The focus for TIM lies on the external perspective with the vision to derive governance modes for different degrees of open platform business models in order to maximize value capture in the IoP.

Key objectives are:

  1. Establish the IoP as an open ecosystem for industrial data of both machines (assets) and products produced in the usage stage
  2. Managing the tension between openness and control in order to allow for value capture of all actors involved
  3. Provide a set of managerial decision parameters when setting up an industry platform around the IoP

Project Sponsor:
German Research Foundation (DFG)

Research Partners in CRD-D2 (Integrated Usage):
Prof. Dr. Brecher (WZL-WM / IPT)
Prof. Dr. Jarke (DBIS / FIT)
Prof. Dr. Poprawe (LLT / ILT)
Prof. Dr. Schuh (WZL-PS / IPT)




Marc van Dyck

Institute for Technology & Innovation Management (TIM)